70
grade C
11 days ago
glama
Akebono MCP
Provides scored and reasoned Kyoto temple data optimized for AI travel agents to deliver personalized recommendations based on natural language queries. It enables agents to retrieve detailed temple information including historical significance, pricing, and crowd levels.
Install from
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// key findings
⚠️
Known vulnerabilities in dependencies: 2 high
Affects packages this MCP installs at runtime. Upgrade or remove the affected dependency.
✅
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
🔐
You'll be asked for 4 credentials: X_ACCESS_TOKEN, X_ACCESS_TOKEN_SECRET, X_API_KEY, X_API_SECRET
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// required environment variables
This server reads these from
process.env. You'll be asked to provide them before it can run.🔐 secret
X_ACCESS_TOKEN🔐 secret
X_ACCESS_TOKEN_SECRET🔐 secret
X_API_KEY🔐 secret
X_API_SECRET// full audit trail
The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.
// improvement guidance — verified publishers only
We have 5 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[](https://m8ven.ai/mcp/yogi-seto-akebono-mcp-lmes4r)commit: 631be0ae2d76afa33db7604eee9fe4d08efb6369
code hash: 3c16bd9eb5c24ff1ede438f2dbc126ceecdba3c8e4bdb17514c049e4e01f8e26
verified: 4/11/2026, 2:28:27 PM